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SİMBİYOTİK ORGANİZMALAR ARAMA ALGORİTMASI İLE DAĞITIM ŞEBEKELERİNDE GÜÇ KAYIPLARININ AZALTILMASI

POWER QUALITY IMPROVEMENT VIA OPTIMAL CAPACITOR PLACEMENT IN ELECTRICAL DISTRIBUTION SYSTEMS USING SYMBIOTIC ORGANISMS SEARCH ALGORITHM

Journal Name:

Publication Year:

DOI: 
10.22531/muglajsci.273947
Abstract (2. Language): 
In this paper, the location and the size of capacitors to be installed in radial distribution systems are determined by using the Symbiotic Organism Search (SOS) algorithm which is a new and powerful metaheuristic optimization technique in order to increase the efficiency by reducing the power losses in distribution systems and to deliver energy more economically with high quality by improving the voltage profile. In the process of determining the capacitor value, the value of the capacitors is taken as commercially available discrete values not as continuous values. The power flow analysis is performed using Forward and Backward Sweep (FBS) algorithm. IEEE 9 bus radial distribution system is used as test system. Performance of the proposed approach is evaluated by comparing the obtained results with the other studies found in the literature for the optimal capacitor placement and sizing (OCPS) problem and the superiority and effectiveness of the method by reducing the power losses in the system and annual cost to the optimum level is shown.
Abstract (Original Language): 
Bu çalışmada, dağıtım şebekesindeki güç kayıplarını azaltarak verimliliği arttırmak ve gerilimi düzenleyerek enerjiyi yüksek kalite ile daha ekonomik olarak iletebilmek için dağıtım şebekesine yerleştirilecek şönt kapasitörlerin optimum yeri ve değeri, yeni ve etkili bir üst sezgisel optimizasyon yöntemi olan simbiyotik organizmalar arama algoritması kullanılarak belirlenmiştir. Kapasitör değerini belirleme işleminde, kapasitörlerin değeri sürekli değer olarak değil de ticari olarak mevcut olan ayrık değerler olarak göz önüne alınmıştır. Güç dağıtım sistemindeki yük akış analizi için ise Forward and Backward Sweep (FBS) algoritması kullanılmıştır. Önerilen yöntem 9 baralı standart IEEE dağıtım şebekesinde test edilmiştir. Elde edilen sonuçlar literatürdeki bazı çalışmalarla karşılaştırılarak önerilen yöntemin performansı değerlendirilmiş ve sistemdeki güç kayıpları ve yıllık maliyet optimum düzeye indirgenerek yöntemin uygulanabilirliği ve üstünlükleri gösterilmiştir.
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REFERENCES

References: 

[1] Tamilselvan, V., Muthulakshmi, K. and Jayabarathi, T., “Optimal Capacitor Placement and Sizing in A Radial Distribution System using Clonal Selection Algorithm”, ARPN Journal of Engineering and Applied Sciences, vol.10, no.8, pp.3304-3312, 2015.
[2] Ng, H. N., Salama, M. M. A. and Chikhani, A. Y., “Classification of Capacitor Allocation Techniques”, IEEE Transactions on Power Delivery, vol.15, no.1, pp.387–392, 2000.
[3] Schmill, J. V., “Optimum size and location of shunt capacitors on distribution feeders”, IEEE Transactions Power Apparatus and Systems, vol. 84, no. 9, pp. 825–832, 1965.
[4] Grainger, J. J. and Lee, S. H., “Optimum size and location of shunt capacitors for reduction of losses on distribution feeders”, IEEE Transactions Power Apparatus and Systems, vol. 100, no. 3, pp. 1105–1118, 1981.
[5] Duran, H., “Optimum number, location, and size of shunt capacitors in radial distribution feeders, A dynamic programming approach”, IEEE Transactions Power Apparatus and Systems, vol.87, no.9, pp.1769–1774, 1968.
[6] Ng, H.N., Salama, N.M.A. and Chikhani, Y., “Capacitor allocation by approximate reasoning fuzzy capacitor placement”, IEEE Transactions on Power Delivery, vol. 15, no.1, pp. 393-398, 2000.
[7] Mekhamer, S.F., Soliman, S.A., Moustafa, M.A., and El-Hawary, M.E., “Application of fuzzy logic for reactive power compensation of radial distribution feeders”, IEEE Transaction Power Systems, vol.18, no.1, pp.206–213, 2003. [8] Bhattacharya, S. K. and Goswami, S. K., “A New Fuzzy Based Solution of The Capacitor Placement Problem in Radial Distribution System”, Expert Systems with Applications, vol. 36, no. 3, pp. 4207-4212, 2009.
[9] Siddiqui, A. S. and Rahman, M. F., “Optimal Capacitor Placement to Reduce Losses in Distribution Systems”, WSEAS Transactions on Power Systems, vol.7, no.1, pp.12-17, 2012.
[10] Ravichandran, K. S., Alsheyuhi, S. S. S. and Chitra, V., “A Novel Approach for Optimal Capacitor Placement Model in Power Distribution Systems”, Research Journal of Applied Sciences, Engineering and Technology, vol.4, no.4, pp.334-341, 2012.
[11] Baysal, Y.A. and Altas, I.H., “A Fuzzy Reasoning Approach for Optimal Location and Sizing of Shunt Capacitors in Radial Power Systems”, IEEE Energy Conversion Congress and Exposition (ECCE), Montreal, Canada, pp. 5838 – 5842, 2015.
[12] Ghose, T., Goswami, S. K. and Basu, S. K., “Solving capacitor placement problems in distribution systems using genetic algorithms”, Elect. Mach. Power Syst., vol. 27, no. 4, pp. 429–441, 1999.
[13] Gallego, R. A., Monticelli, A. J. and Romero, R., “Optimal capacitor placement in radial distribution networks using tabu search”, IEEE Trans. Power Syst., vol.16, no.4, pp. 630–637, 2001.
[14] Prakash, K. and Sydulu, M., “Particle swarm optimisation based capacitor placement on radial distribution
systems,” IEEE PES General Meeting, Tampa, FL, , pp.1–5, 2007.
[15] Chang, C. F., “Reconfiguration and capacitor placement for loss reduction of distribution systems by ant colony search algorithm”, IEEE Trans. Power Syst., vol. 23, no. 4, pp. 1747–1755, 2008.
[16] Sirjani, R. and Hassanpour, B., “A New Ant Colony-Based Method for Optimal Capacitor Placement and Sizing in Distribution Systems”, Research Journal of Applied Sciences, Engineering and Technology, vol.4, no.8, pp. 888-891, 2012.
[17] Zakka, S., Reddy, M. B., and Palepu, S. B., “Optimal capacitor placement using fuzzy and artificial bee colony algorithm for maximum loss reduction”, Int. J. Scient. Eng. Res., vol.3, no.10, pp. 1–7, 2012.
[18] Srinivasa Rao, R. and Narasimham, S.V.L., “Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm”, World Academy of Science, Engineering and Technology, vol.2, pp. 715-722, 2008.
[19] Sirjani, R., Mohamed, A. and Shareef, H., “Optimal capacitor placement in a radial distribution system using harmony search algorithm”, J. Appl. Sci., Vol. 10, No. 23, pp. 2996–3006, 2010.
[20] Reddy, M. D. and Kumar, N.V., “Optimal capacitor placement for loss reduction in distribution systems using fuzzy and harmony search algorithm”, ARPN J. Eng. Appl. Sci., vol.7, no. 1, pp. 15–19, 2012.
[21] El-Fergany, A. A. and. Abdelaziz, A. Y., “Capacitor allocations in radial distribution networks using cuckoo search algorithm”, IET Generat. Transm. Distrib, vol.8, pp.223-232, 2014.
[22] Nivethitha, S., Shuaib Y. M. and Saleem A. S., “Optimal Capacıtor Placement for Power Loss Minimization in Radial Distribution System using Group Search Optimization Algorithm”, International Journal of Infinite Innovations in Engineering and Technology, vol.2, no.1 pp.42-53, 2015.
[23] Baghzouz, Y. and Ertem, S., “Shunt capacitor sizing for radial distribution feeders with distorted substation voltages”, IEEE Trans Power Delivery, vol. 5, pp.650–657, 1990.
[24] Cheng, M.Y. and Prayogo, D., "Symbiotic Organisms Search: A new metaheuristic optimization algorithm," Computers and Structures, vol.139, pp. 98-112, 2014.

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